The National Ecological Observatory Network (NEON) is a national-scale research platform for assessing the impacts of climate change, land-use change, and invasive species on ecosystem structure and function. NEON partitions the United States into 20 ecoclimate domains. Each domain hosts fully instrumented aquatic sites in permanent (wildland area) and relocatable sites (36 sites in current definition). Relocatable sites aims to capture ecologically significant contrasts within and between domains.

The National Ecological Observatory Network (NEON), being funded by the National Science Foundation, is a continental-scale research platform for discovering, understanding and forecasting the impacts of climate change, land-use change, and invasive species on ecology. Local site-based flux tower and field measurements will be coordinated with high resolution, regional airborne remote sensing observations. The Land Use Analysis Package (LUAP) provides a linkage to scaling to continental scale by providing access to satellite data sets.

 The National Ecological Observatory Network (NEON) is a national-scale research platform for analyzing and understanding the impacts of climate change, land-use change, and invasive species on ecology. NEON features sensor networks and experiments, linked by advanced cyberinfrastructure to record and archive ecological data for at least 30 years. Using standardized protocols and an open data policy, NEON will gather essential data for developing the scientific understanding and theory required to manage ecological challenges.

Due to fragmentation, where there were once contiguous populations of grasslands, core and edge populations remain, often times separated by large distances and located in different climates. Previous research has largely overlooked edge populations and focused on dominant species in core populations. The purpose of this study is to compare core and edge populations of two dominant C4 grasses, Bouteloua gracilis and Andropogon gerardii, in a reciprocal transplant experiment.

We examine transitions of land categories from three points in time for the Plum Island Ecosystems site to test whether the transitions during the former time interval are consistent or different than the transitions during the latter time interval. Computer code has been created to automate this analysis for any other sites who would like to participate in this cross site comparison.

The 2007 Regional report by the Intergovernmental Panel on Climate Change predicted that the central grassland region of North America is very likely to warm substantially during the twenty first century. Modelers are less certain about changes in the timing and amount of precipitation in the region. Our research examines how changes in plant available water will affect critical biological processes in the central grassland region of North America, specifically comparing a site at the Shortgrass Steppe LTER to a site on the mixed grass prairie near Hays, KS.

Human management of landscapes is a primary cause of global environmental change. In residential landscapes, homeowner yard management can affect ecological properties and processes locally and regionally. For example, turfgrass lawns are now one of the largest irrigated crops in the U.S., contributing to high water and fertilizer use. Social drivers, such as personal values or Homeowner Association (HOA) regulations, also impact individual yard management decisions.

Human activities have increased the amount of available nitrogen (N) globally. Increased N-availability can change plant community structure and function, and lead to diversity loss. Species traits associated with differential resource limitation may predict how plant communities will respond to N-enrichment across ecosystems. We focused on specific leaf area (SLA), leaf area per unit leaf mass, as a candidate trait because it is correlated with high relative growth rates, photosynthetic rates, and leaf N-concentrations.

The EcoTrends project is an LTER network-level synthesis program geared toward making long-term ecological data highly explorable, accessible and comparable for cross-site synthesis research. Five years of working with 50 sites (LTER, USDA ARS, USFS, and other agencies) have offered many lessons that can be utilized as we strive to improve and upgrade EcoTrends services. Here, we describe the project’s goals and products, discuss lessons learned, and lay out plans for a future system that will better serve the ecological research and information management community.

Ecological complexity integrates complexity theory and ecosystem function and can provide insights to tackle critical environmental problems. Ecological complexity is not merely describing complicated systems, but complex in the many interacting components controlled by drivers operating across multiple scales. Multiple spatio-temporal scales are needed to understand complex systems. We are interested in understanding these different scales in the terms of biogeochemistry, or biogeochemical complexity. A unifying feature of many LTER sites is biogeochemical complexity.